Separation of cellular and BOLD contributions to T2* signal relaxation
- 10 March 2015
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 75 (2) , 606-615
Abstract
Purpose: The development of a reliable clinical technique for quantitative measurements of the parameters defining the BOLD effect, i.e., oxygen extraction fraction (OEF), and deoxygenated cerebral blood volume, dCBV, is needed to study brain function in health and disease. Herein we propose such a technique that is based on a widely available gradient recalled echo (GRE) MRI.Theory and Methods: Our method is based on GRE with multiple echoes and a model of signal decay (Yablonskiy, MRM 1998) that takes into account microscopic cellular (R2), mesoscopic (BOLD), and macroscopic (background field gradients) contributions to the GRE signal decay with additional accounting for physiologic fluctuations.Results: Using 3 Tesla MRI, we generate high resolution quantitative maps of R2*, R2, R2′, and tissue concentration of deoxyhemoglobin, the latter providing a quantitative version of SWI. Our results for OEF and dCBV in gray matter are in a reasonable agreement with the literature data.Conclusion: The proposed approach allows generating high resolution maps of hemodynamic parameters using clinical MRI. The technique can be applied to study such tissues as gray matter, tumors, etc.; however, it requires further development for use in tissues where extra‐ and intracellular compartments possess substantially different frequencies and relaxation properties (e.g., white matter). Magn Reson Med 75:606–615, 2016.Keywords
Funding Information
- NIH (5R01NS055963)
This publication has 61 references indexed in Scilit:
- Application of Quantitative MRI for Brain Tissue Segmentation at 1.5 T and 3.0 T Field StrengthsPLOS ONE, 2013
- Fiber orientation-dependent white matter contrast in gradient echo MRIProceedings of the National Academy of Sciences, 2012
- A review of calibrated blood oxygenation level‐dependent (BOLD) methods for the measurement of task‐induced changes in brain oxygen metabolismNMR in Biomedicine, 2012
- Gradient Echo Plural Contrast Imaging — Signal model and derived contrasts: T2*, T1, Phase, SWI, T1f, FST2*and T2*-SWINeuroImage, 2012
- Is T2* Enough to Assess Oxygenation? Quantitative Blood Oxygen Level–Dependent Analysis in Brain TumorRadiology, 2012
- Spatial correlation between brain aerobic glycolysis and amyloid-β (Aβ) depositionProceedings of the National Academy of Sciences, 2010
- Optimal decay rate constant estimates from phased array data utilizing joint Bayesian analysisJournal of Magnetic Resonance, 2009
- Validation of oxygen extraction fraction measurement by qBOLD techniqueMagnetic Resonance in Medicine, 2008
- Quantitative evaluation of oxygenation in venous vessels using T2‐Relaxation‐Under‐Spin‐Tagging MRIMagnetic Resonance in Medicine, 2008
- Selective defect of in vivo glycolysis in early Huntington's disease striatumProceedings of the National Academy of Sciences, 2007